Final Exam: Low-code Machine Learning with KNIME

Intermediate
  • 1 video | 32s
  • Includes Assessment
  • Earns a Badge
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Final Exam: Low-code Machine Learning with KNIME will test your knowledge and application of the topics presented throughout the Low-code Machine Learning with KNIME track.

WHAT YOU WILL LEARN

  • Explore the knime workspace and sample workflows
    use one-hot and label encoding
    recall how regression models work
    perform one-hot and label encoding
    visualize aggregated data in scatter plots
    explore data attributes and compute correlations
    import csv data and compute summary statistics
    train an ensemble classifier
    improve model performance by standardizing data
    encode and split data for machine learning
  • detect and remove outliers
    standardize data to improve model performance
    oversample data to improve model performance
    process missing values and high-correlation attributes
    explore clustering models
    visualize clusters using scatter and box plots
    visualize data using moving averages
    perform time-series forecasting using arima
    recall how association rules mining works
    perform association rule learning for market basket analysis

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